Summary

The concepts included in this chapter cover the different categories of data, storage options, and processing patterns. This chapter also covered common analysis techniques and when to use different visualizations depending on what business questions you are trying to answer. Understanding these core definitions will help you design data solutions in Azure for any scenario.

This chapter covered the following concepts:

Describe types of core data workloads.  The design strategy for a data solution comes down to what value will be provided by the solution, the volume of data the solution will store and process, the variety of data involved, and the velocity of the data being ingested. Solutions can be either a transactional workload, accounting for the business transactions that support the day-to-day operations of an organization, or an analytical workload that supports business users who need to make calculated business decisions from large amounts of data. These workloads can consist of structured, semi-structured, and unstructured data that can be stored in relational or nonrelational databases or as files in object storage. Cloud-based solutions can easily support requirements for data to be batch and stream processed.Describe data analytics core concepts.  Data analytics is the process of turning raw data into information that is used to make important business decisions. First, raw data is extracted from source systems that are used to power a business and is either transformed first and then loaded into a destination data store or is loaded first and then transformed in the destination data store. Depending on the value being derived from the information, one or more analytics techniques can be applied to the processed data to view past performance and predict the most optimal actions to take advantage of future opportunities or prevent potential threats. Value is then exposed through several data visualization techniques so that decision makers can easily interpret the processed data and quickly make decisions that will ensure the success of their business.

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